Analytical Study on the Estimation of Primary Activity Distribution Based on Spectrum Sensing

Al-Tahmeesschi, Ahmed ORCID: 0000-0002-5750-5080, Lopez-Benitez, Miguel ORCID: 0000-0003-0526-6687, Umebayashi, Kenta and Lehtomaki, Janne (2017) Analytical Study on the Estimation of Primary Activity Distribution Based on Spectrum Sensing. In: 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2017-10-8 - 2017-10-13, Montreal, Quebec, Canada.

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Abstract

Cognitive Radio (CR) systems utilize spectrum sensing to decide transmission time in an opportunistic manner. Spectrum sensing can also be used not only to determine the instantaneous on/off state of the channel but also to monitor the statistics of primary user to gain information on occupancy pattern. This knowledge can be exploited in many ways to improve CR systems. In this paper, we propose an analytical model to link the sensing period with the observed spectrum occupancy. Moreover, the effect of spectrum sensing periods on the estimated primary activity pattern is analysed. Simulation results show that the proposed model captures with reasonable accuracy the spectrum occupancy observed at the CR.

Item Type:	Conference or Workshop Item (Unspecified)
Uncontrolled Keywords:	Cognitive radio, spectrum sensing, exponential distribution, primary activity statistics
Depositing User:	Symplectic Admin
Date Deposited:	02 Oct 2017 08:50
Last Modified:	19 Jan 2023 06:53
DOI:	10.1109/PIMRC.2017.8292744
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3009725